智能系统中的区块链集成:实时传感器数据存储的问题与机遇

Naseem Alsadi, Syed Zaidi, Mankaran Rooprai, S. A. Gadsden, J. Yawney, W. Hilal
{"title":"智能系统中的区块链集成:实时传感器数据存储的问题与机遇","authors":"Naseem Alsadi, Syed Zaidi, Mankaran Rooprai, S. A. Gadsden, J. Yawney, W. Hilal","doi":"10.1117/12.3013828","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) and other emerging ubiquitous technologies are supporting the rapid spread of smart systems, which has underlined the need for safe, open, and decentralized data storage solutions. With its inherent decentralization and immutability, blockchain offers itself as a potential solution for these requirements. However, the practicality of incorporating blockchain into real-time sensor data storage systems is a topic that demands in-depth examination. While blockchain promises unmatched data security and auditability, some intrinsic qualities, namely scalability restrictions, transactional delays, and escalating storage demands, impede its seamless deployment in high-frequency, voluminous data contexts typical of real-time sensors. This essay launches a methodical investigation into these difficulties, illuminating their underlying causes, potential effects, and potential countermeasures. In addition, we present a novel pragmatic experimental setup and analysis of blockchain for smart system applications, with an extended discussion of the benefits and disadvantages of deploying blockchain based solutions for smart system ecosystems.","PeriodicalId":178341,"journal":{"name":"Defense + Commercial Sensing","volume":"18 1","pages":"130580R - 130580R-11"},"PeriodicalIF":0.0000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Integration of blockchain in smart systems: problems and opportunities for real-time sensor data storage\",\"authors\":\"Naseem Alsadi, Syed Zaidi, Mankaran Rooprai, S. A. Gadsden, J. Yawney, W. Hilal\",\"doi\":\"10.1117/12.3013828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Internet of Things (IoT) and other emerging ubiquitous technologies are supporting the rapid spread of smart systems, which has underlined the need for safe, open, and decentralized data storage solutions. With its inherent decentralization and immutability, blockchain offers itself as a potential solution for these requirements. However, the practicality of incorporating blockchain into real-time sensor data storage systems is a topic that demands in-depth examination. While blockchain promises unmatched data security and auditability, some intrinsic qualities, namely scalability restrictions, transactional delays, and escalating storage demands, impede its seamless deployment in high-frequency, voluminous data contexts typical of real-time sensors. This essay launches a methodical investigation into these difficulties, illuminating their underlying causes, potential effects, and potential countermeasures. In addition, we present a novel pragmatic experimental setup and analysis of blockchain for smart system applications, with an extended discussion of the benefits and disadvantages of deploying blockchain based solutions for smart system ecosystems.\",\"PeriodicalId\":178341,\"journal\":{\"name\":\"Defense + Commercial Sensing\",\"volume\":\"18 1\",\"pages\":\"130580R - 130580R-11\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Defense + Commercial Sensing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.3013828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Defense + Commercial Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.3013828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

物联网(IoT)和其他新兴的泛在技术正在支持智能系统的快速普及,这凸显了对安全、开放和去中心化数据存储解决方案的需求。区块链以其固有的去中心化和不可更改性,为满足这些需求提供了潜在的解决方案。然而,将区块链纳入实时传感器数据存储系统的实用性是一个需要深入研究的课题。虽然区块链承诺提供无与伦比的数据安全性和可审计性,但其固有的一些特性,即可扩展性限制、交易延迟和不断升级的存储需求,阻碍了区块链在实时传感器典型的高频、海量数据环境中的无缝部署。本文将有条不紊地调查这些困难,阐明其根本原因、潜在影响和潜在对策。此外,我们还介绍了区块链在智能系统应用中的新型实用实验设置和分析,并扩展讨论了在智能系统生态系统中部署基于区块链的解决方案的利弊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Integration of blockchain in smart systems: problems and opportunities for real-time sensor data storage
The Internet of Things (IoT) and other emerging ubiquitous technologies are supporting the rapid spread of smart systems, which has underlined the need for safe, open, and decentralized data storage solutions. With its inherent decentralization and immutability, blockchain offers itself as a potential solution for these requirements. However, the practicality of incorporating blockchain into real-time sensor data storage systems is a topic that demands in-depth examination. While blockchain promises unmatched data security and auditability, some intrinsic qualities, namely scalability restrictions, transactional delays, and escalating storage demands, impede its seamless deployment in high-frequency, voluminous data contexts typical of real-time sensors. This essay launches a methodical investigation into these difficulties, illuminating their underlying causes, potential effects, and potential countermeasures. In addition, we present a novel pragmatic experimental setup and analysis of blockchain for smart system applications, with an extended discussion of the benefits and disadvantages of deploying blockchain based solutions for smart system ecosystems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Enhanced robot state estimation using physics-informed neural networks and multimodal proprioceptive data Exploring MOF-based micromotors as SERS sensors Adaptive object detection algorithms for resource constrained autonomous robotic systems Adaptive SIF-EKF estimation for fault detection in attitude control experiments A homogeneous low-resolution face recognition method using correlation features at the edge
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1